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1.
Diagnostics (Basel) ; 12(1)2022 Jan 03.
Artículo en Inglés | MEDLINE | ID: mdl-35054264

RESUMEN

Periodontitis is an infectious illness which leads to the inflammation of protective tissues around the teeth and the continuous loss of alveolar bone and conjunctive tissue. Biomarker analysis in serum and saliva helps in the evaluation of disease progression and activity. It is also established that every inflammatory change along with resultant damage of tissues ends up in altered pH values in the fluids and tissues. AIM: To correlate the connection of pH levels in both blood as well as saliva in healthy, periodontitis, and gingivitis patients. MATERIALS AND METHODS: The current research involved 145 subjects amidst the age of 20 and 55 years. The subjects were split into three different groups: healthy (Group A), gingivitis (Group B), and finally chronic periodontitis (Group C). The recording of clinical parameters was done by gingival index (GI), probing depth (PD), and plaque index (PI). pH of saliva and blood was analyzed with the help of digital single electrode pH meter. Subjects have gone through scaling and root planning (SRP) coupled with the instructions of oral hygiene. They were recalled post 4 weeks, and saliva and blood samples were gathered for analyzing pH. RESULTS: Clinical parameters GI and PI were statistically important in both group C as well as group B post SRP. A crucial change has been observed in attachment levels (AL) and PD in the case of periodontitis group post SRP. The difference in the salivary pH values were significant between group B vs. C and A vs. C before the treatment because the values for group C were acidic, whereas in groups B and A the pH was alkaline. After the treatment, the values were still significant because the pH has become more alkaline compared to preoperative value in both group B and C. Saliva's pH levels have demonstrated a statistically significant reduction in group C post SRP. CONCLUSION: Salivary pH levels and blood evidently became alkaline in the group C patients post SRP and there is a positive correlation between them and the clinical parameters.

2.
Saudi J Biol Sci ; 28(1): 380-385, 2021 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-33424320

RESUMEN

Periodontitis is commonly diagnosed based on clinical parameters. However, the analysis of a few unique biomarkers of the disease process present in the saliva and blood can further assist the estimation of the rate of disease progression. AIM: The present study attempted to correlate the alkaline phosphatase (ALP) and acid phosphatase (ACP) levels in saliva and serum between patients with healthy periodontium, gingivitis, and chronic periodontitis. MATERIALS AND METHODS: The present study was conducted in 135 subjects between 20 and 55 years of age. The subjects were divided into three groups, namely healthy (Group A), gingivitis (Group B), and chronic periodontitis (Group C). The clinical parameters were recorded using the plaque index (PI), gingival index (GI), and probing depth (PD). Saliva and serum were analyzed for ALP and ACP levels using an auto analyzer. All patients underwent scaling and root planning (SRP) along with oral hygiene instructions. Patients were then recalled after four weeks, and blood and saliva samples were collected to estimate ALP and ACP levels prior to clinical examination. RESULTS: The clinical parameters exhibited a statistically significant decrease in the PI and GI in both group B and group C after SRP. A significant change in the PD and attachment levels (AL) was observed in the periodontitis group after SRP. The mean salivary & serum ALP levels exhibited a statistically significant decrease in group B & C after SRP. The mean serum ACP levels exhibited a statistically significant decrease in group B & C after SRP However, the salivary ACP levels decrease after SRP was only statistically significant in group C. CONCLUSION: Serum and salivary ALP and ACP levels were markedly decreased in the gingivitis and periodontitis groups after SRP and were positively correlated with the clinical parameters.

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